Why would the image go between greyscale and rgb? In anycase, perhaps the easiest solution is use np.resize on temp instead of the for loops. Then if you have tuples of rgb versus ints you can use np.where()
On Thu, Oct 28, 2010 at 4:36 AM, German Ocampo <geroca...@gmail.com> wrote: > Good morning > > Im reading an 8bit image generated by ArcMap using PIL in windows, the > image load well without error messages but, when I try to extract the > values to a numpy array I got some lines of the image with value of > pixel 127 (greyscale) or rgb(0,0,0). When I open the image using GIMP > or arcmap I could see that the image is complete. > > Any idea of what is happening?? > > the code that I'm using for read the image is: > > from PIL import Image > from PIL import TiffImagePlugin > import numpy as np > import sys > im = Image.open(file_tif) > values=np.zeros((size_y,size_x)) > mode=im.mode > temp=list(im.getdata()) > cont=-1 > list_colors=[] > for i in range(0,size_y): > for j in range(0,size_x): > cont+=1 > if mode=="RGB": > color=temp[cont] > print cont,temp[cont] > if color in list_colors: > index=list_colors.index(color) > values[i][j]=index+1 > else: > list_colors.append(color) > values[i][j]=len(list_colors) > else: > values[i][j]=temp[cont] > > Best regards > > German > _______________________________________________ > Image-SIG maillist - image-...@python.org > http://mail.python.org/mailman/listinfo/image-sig > _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
